ycremar / awesome-coincidences-between-two-papers
The repository includes evidence that a published paper in TKDE shares surprisingly high similarity to our paper.
☆32Updated 2 years ago
Alternatives and similar repositories for awesome-coincidences-between-two-papers:
Users that are interested in awesome-coincidences-between-two-papers are comparing it to the libraries listed below
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆103Updated last year
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆23Updated last year
- Source code for From Stars to Subgraphs (ICLR 2022)☆66Updated 9 months ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆108Updated last year
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆12Updated 7 months ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆40Updated 3 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 3 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆55Updated 2 years ago
- ☆62Updated 4 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆40Updated 3 years ago
- Papers about developing DL methods on disassortative graphs☆48Updated 2 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆86Updated 7 months ago
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆54Updated 7 months ago
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆77Updated last year
- Edge-Augmented Graph Transformer☆74Updated 11 months ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆86Updated 10 months ago
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆37Updated 3 years ago
- ☆19Updated last year
- Implementation of Directional Graph Networks in PyTorch and DGL☆117Updated 3 years ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆25Updated 2 years ago
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆25Updated 2 years ago
- ☆33Updated 4 years ago
- [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks☆26Updated 2 years ago
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆126Updated 3 years ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆41Updated 2 years ago
- ☆38Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆41Updated 5 months ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆105Updated last year
- PyTorch implementation of the paper "Discovering and Explaining the Representation Bottleneck of DNNs" (ICLR 2022)☆38Updated 2 months ago
- Rex Ying's Ph.D. Thesis, Stanford University☆42Updated 2 years ago